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GPT-4.1 vs Mistral Small 3.1 24B

Mistral Small 3.1 24B costs 14.4x less per output token than GPT-4.1 ($0.555 vs $8.00 per million). Updated October 22, 2026; 38 benchmarks have a result for both.

Replace GPT-4.1 Replace Mistral Small 3.1 24B
GPT-4.1OpenAI
Coding
No data
Overall
36.5
Output $/M
$8.00
38
Mistral Small 3.1 24BMistral AI
Coding
No data
Overall
No data
Output $/M
$0.555
0
vs boards won of 38 shared

GPT-4.1 or Mistral Small 3.1 24B: which to pick

Neither model has a coding score yet, so the two cannot be ranked on coding.

Pick GPT-4.1 for a larger context window (1.05M against 128K tokens).

Model AGPT-4.1OpenAINot benchmarkedNo coding benchmark$0.37 per solved taskModel BMistral Small 3.1 24BMistral AINot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
38
GPT-4.1 only
54
Mistral Small 3.1 24B only
0
Like-for-like categories
5 of 9

Only benchmarks that tested both models count toward a pick; a result only one model has is shown but not compared.

Which one for your work

Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.

At a glance

Coding index
GPT-4.1 not benchmarked, Mistral Small 3.1 24B not benchmarked.
Widest category
Knowledge, 19.6 points apart on average over 4 shared benchmarks.
Widest single gap
LMArena Text: Polish: GPT-4.1 1389 against Mistral Small 3.1 24B 1242, 24.5 points apart on a 0 to 100 scale.
Output price
GPT-4.1 $8.00 against Mistral Small 3.1 24B $0.555 per million output tokens, 14.4x apart.
Context window
GPT-4.1 takes 1.05M tokens, Mistral Small 3.1 24B 128K.

Benchmark by benchmark

First the score: boards each model leads, per category, where both have a result. Then every board, a category to a fold; bars are each result on a 0 to 100 scale, so compare the two in a row, not one row with another.

Boards won, where both have a result
CategoryGPT-4.1BarsMistral Small 3.1 24BTies
Coding20
Reasoning50
Math20
Knowledge40
General250
All shared boards380
CodingLike-for-likeSix of these boards feed the Vibe Coding Index20
Coding benchmarks for GPT-4.1 and Mistral Small 3.1 24B
BenchmarkGPT-4.1Mistral Small 3.1 24BLeader
Aider polyglot52.4%Not measuredOnly GPT-4.1 measured
SWE-bench Verified39.6%Not measuredOnly GPT-4.1 measured
SWE-bench Multimodal31.1%Not measuredOnly GPT-4.1 measured
LiveCodeBench (Vals AI)54.7%Not measuredOnly GPT-4.1 measured
LiveCodeBench (Artificial Analysis run)45.7%Not measuredOnly GPT-4.1 measured
Terminal-Bench Hard (Artificial Analysis run)13.6%Not measuredOnly GPT-4.1 measured
WeirdML39.0%Not measuredOnly GPT-4.1 measured
ALE-Bench558.1Not measuredOnly GPT-4.1 measured
LMArena Text: coding13901309GPT-4.1
LMArena Text: software and IT13911301GPT-4.1
SciCode4.6%Not measuredOnly GPT-4.1 measured
Neither model has a result on the other 28 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Intelligence benchmarks for GPT-4.1 and Mistral Small 3.1 24B
BenchmarkGPT-4.1Mistral Small 3.1 24BLeader
AA Intelligence Index12.7Not measuredOnly GPT-4.1 measured
Epoch Capabilities Index136.7Not measuredOnly GPT-4.1 measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index3 boards, none shared
Agentic work benchmarks for GPT-4.1 and Mistral Small 3.1 24B
BenchmarkGPT-4.1Mistral Small 3.1 24BLeader
τ²-Bench Telecom47.1%Not measuredOnly GPT-4.1 measured
Berkeley Function Calling Leaderboard (BFCL)54.0%Not measuredOnly GPT-4.1 measured
BrowseComp-Plus36.4%Not measuredOnly GPT-4.1 measured
Neither model has a result on the other 38 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index50
Reasoning benchmarks for GPT-4.1 and Mistral Small 3.1 24B
BenchmarkGPT-4.1Mistral Small 3.1 24BLeader
GPQA Diamond65.4%Not measuredOnly GPT-4.1 measured
MMMU Pro (Vals AI)72.4%Not measuredOnly GPT-4.1 measured
GPQA Diamond (Artificial Analysis run)66.6%Not measuredOnly GPT-4.1 measured
Humanity's Last Exam (Artificial Analysis run)4.2%Not measuredOnly GPT-4.1 measured
GPQA Diamond (Epoch AI run)66.9%Not measuredOnly GPT-4.1 measured
ARC-AGI5.5%Not measuredOnly GPT-4.1 measured
ARC-AGI-20.4%Not measuredOnly GPT-4.1 measured
SimpleBench27.0%Not measuredOnly GPT-4.1 measured
Chess puzzles3.0%Not measuredOnly GPT-4.1 measured
LMArena Text: hard prompts13841278GPT-4.1
LMArena Text: expert13641257GPT-4.1
LMArena Text: hard prompts in English13931290GPT-4.1
LMArena Vision: diagrams12151119GPT-4.1
LMArena Vision: homework12481158GPT-4.1
Kagi LLM Benchmark52.3%Not measuredOnly GPT-4.1 measured
Neither model has a result on the other 7 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index20
Math benchmarks for GPT-4.1 and Mistral Small 3.1 24B
BenchmarkGPT-4.1Mistral Small 3.1 24BLeader
AIME39.6%Not measuredOnly GPT-4.1 measured
MATH 500 (Vals AI)87.2%Not measuredOnly GPT-4.1 measured
MGSM (Vals AI)87.7%Not measuredOnly GPT-4.1 measured
AA Math Index34.7Not measuredOnly GPT-4.1 measured
AIME 2025 (Artificial Analysis run)34.7%Not measuredOnly GPT-4.1 measured
OTIS Mock AIME38.3%Not measuredOnly GPT-4.1 measured
FrontierMath, tiers 1 to 36.0%Not measuredOnly GPT-4.1 measured
MATH level 583.0%Not measuredOnly GPT-4.1 measured
LMArena Text: math13691261GPT-4.1
LMArena Text: mathematical work13601271GPT-4.1
Neither model has a result on the other 3 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
Knowledge benchmarks for GPT-4.1 and Mistral Small 3.1 24B
BenchmarkGPT-4.1Mistral Small 3.1 24BLeader
MMLU Pro80.5%Not measuredOnly GPT-4.1 measured
LegalBench (Vals AI)83.1%Not measuredOnly GPT-4.1 measured
CaseLaw (Vals AI)69.9%Not measuredOnly GPT-4.1 measured
CorpFin (Vals AI)63.0%Not measuredOnly GPT-4.1 measured
TaxEval (Vals AI)75.1%Not measuredOnly GPT-4.1 measured
MortgageTax (Vals AI)65.9%Not measuredOnly GPT-4.1 measured
MedQA (Vals AI)91.2%Not measuredOnly GPT-4.1 measured
MMLU Pro (Artificial Analysis run)80.6%Not measuredOnly GPT-4.1 measured
SimpleQA Verified31.1%Not measuredOnly GPT-4.1 measured
GeoBench72.0%Not measuredOnly GPT-4.1 measured
LMArena Text: science13821265GPT-4.1
LMArena Text: medicine and healthcare13791267GPT-4.1
LMArena Text: legal and government13991271GPT-4.1
LMArena Text: business and finance13691257GPT-4.1
FACTS Benchmark Suite45.8%Not measuredOnly GPT-4.1 measured
Neither model has a result on the other 3 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
Web design benchmarks for GPT-4.1 and Mistral Small 3.1 24B
BenchmarkGPT-4.1Mistral Small 3.1 24BLeader
Design Arena: websites1038Not measuredOnly GPT-4.1 measured
Design Arena: UI components997Not measuredOnly GPT-4.1 measured
Design Arena: game dev1079Not measuredOnly GPT-4.1 measured
Design Arena: data viz1104Not measuredOnly GPT-4.1 measured
Design Arena: 3D849Not measuredOnly GPT-4.1 measured
Design Arena: all code categories1025Not measuredOnly GPT-4.1 measured
Neither model has a result on the other 3 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index250
General benchmarks for GPT-4.1 and Mistral Small 3.1 24B
BenchmarkGPT-4.1Mistral Small 3.1 24BLeader
IFBench43.0%Not measuredOnly GPT-4.1 measured
Long context reasoning (AA-LCR)68.3%Not measuredOnly GPT-4.1 measured
DTBench68.3%Not measuredOnly GPT-4.1 measured
LMCA25.6%Not measuredOnly GPT-4.1 measured
Fiction.LiveBench63.9%Not measuredOnly GPT-4.1 measured
LMArena Text13831277GPT-4.1
LMArena Text: instruction following13671263GPT-4.1
LMArena Text: creative writing13631252GPT-4.1
LMArena Vision12101136GPT-4.1
LMArena Text: English13921295GPT-4.1
LMArena Text: non-English13701255GPT-4.1
LMArena Text: Chinese13821253GPT-4.1
LMArena Text: German13811266GPT-4.1
LMArena Text: Japanese13191208GPT-4.1
LMArena Text: Korean13381207GPT-4.1
LMArena Text: French13821273GPT-4.1
LMArena Text: Spanish13761284GPT-4.1
LMArena Text: Russian13771263GPT-4.1
LMArena Text: Polish13891242GPT-4.1
LMArena Text: multi-turn13971270GPT-4.1
LMArena Text: longer queries13851299GPT-4.1
LMArena Text: writing and language13711268GPT-4.1
LMArena Text: entertainment and media13651250GPT-4.1
LMArena Vision: English12091157GPT-4.1
LMArena Vision: Chinese12261155GPT-4.1
LMArena Vision: reading text12181132GPT-4.1
LMArena Vision: humor11961142GPT-4.1
LMArena Vision: captioning12071153GPT-4.1
LMArena Vision: recognizing things12081155GPT-4.1
LMArena Vision: creative writing12101123GPT-4.1
Neither model has a result on the other 16 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GPT-4.1 and Mistral Small 3.1 24B
BenchmarkGPT-4.1Mistral Small 3.1 24BLeader
Neither model has a result on 5 boards here

What each workload costs

Three fixed token mixes at each model's listed price, so per-token rates become a bill.

Chat turn

1K input + 500 output tokens

GPT-4.1$0.0060Fits in one request
Mistral Small 3.1 24B$0.0006Fits in one request

Mistral Small 3.1 24B costs less

Repository review

50K input + 3K output tokens

GPT-4.1$0.124Fits in one request
Mistral Small 3.1 24B$0.019Fits in one request

Mistral Small 3.1 24B costs less

Agent loop

200K input + 10K output tokens

GPT-4.1$0.480Fits in one request
Mistral Small 3.1 24B$0.076Exceeds the context window

Mistral Small 3.1 24B costs less

Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.

Specification differences

The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.

Specifications of GPT-4.1 and Mistral Small 3.1 24B
SpecificationOpenAI GPT-4.1Mistral Small 3.1 24B
MakerOpenAIMistral AI
WeightsNo public weights listedOpen weights
ReleasedApril 14, 2025March 17, 2025
Context window1.05M128K
Input $/Mtok$2.00$0.351
Output $/Mtok$8.00$0.555
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved task$0.37Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-4.1 better than Mistral Small 3.1 24B for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick GPT-4.1 for a larger context window (1.05M against 128K tokens).

Which is cheaper, GPT-4.1 or Mistral Small 3.1 24B?

GPT-4.1 costs $2.00 per million input tokens and $8.00 per million output tokens; Mistral Small 3.1 24B costs $0.351 and $0.555. Cost per solved task is known for GPT-4.1 only.

Which has the bigger context window, GPT-4.1 or Mistral Small 3.1 24B?

GPT-4.1, with 1.05M tokens against 128K.

How many benchmarks is the GPT-4.1 vs Mistral Small 3.1 24B comparison based on?

38 benchmarks have a result for both models as of October 22, 2026. GPT-4.1's coding index rests on 0 independent benchmarks and Mistral Small 3.1 24B's on 0. Where only one model has a result, the page says so instead of naming a winner.

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